741 citations · 1.1k across the 20 of their papers we have counts for
20 papers
Continuous Sleep Depth Index Annotation with Deep Learning Yields Novel Digital Biomarkers for Sleep Health
Songchi Zhou, Ge Song, Haoqi Sun +3
Traditional sleep staging categorizes sleep and wakefulness into five coarse-grained classes, overlooking subtle variations within each stage. It provides limited information about…
BIOT: Cross-data Biosignal Learning in the Wild
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
Biological signals, such as electroencephalograms (EEG), play a crucial role in numerous clinical applications, exhibiting diverse data formats and quality profiles. Current deep l…
ManyDG: Many-domain Generalization for Healthcare Applications
Chaoqi Yang, M. Brandon Westover, Jimeng Sun
The vast amount of health data has been continuously collected for each patient, providing opportunities to support diverse healthcare predictive tasks such as seizure detection an…
Improving Clinician Performance in Classification of EEG Patterns on the Ictal-Interictal-Injury Continuum using Interpretable Machine Learning
Alina Jade Barnett, Zhicheng Guo, Jin Jing +12
In intensive care units (ICUs), critically ill patients are monitored with electroencephalograms (EEGs) to prevent serious brain injury. The number of patients who can be monitored…
Effects of Epileptiform Activity on Discharge Outcome in Critically Ill Patients
Harsh Parikh, Kentaro Hoffman, Haoqi Sun +10
Epileptiform activity (EA) is associated with worse outcomes including increased risk of disability and death. However, the effect of EA on the neurologic outcome is confounded by…
NeuraHealth: An Automated Screening Pipeline to Detect Undiagnosed Cognitive Impairment in Electronic Health Records with Deep Learning and Natural Language Processing
Tanish Tyagi, Colin G. Magdamo, Ayush Noori +22
Dementia related cognitive impairment (CI) is a neurodegenerative disorder, affecting over 55 million people worldwide and growing rapidly at the rate of one new case every 3 secon…
Using Deep Learning to Identify Patients with Cognitive Impairment in Electronic Health Records
Tanish Tyagi, Colin G. Magdamo, Ayush Noori +22
Dementia is a neurodegenerative disorder that causes cognitive decline and affects more than 50 million people worldwide. Dementia is under-diagnosed by healthcare professionals -…
Self-supervised EEG Representation Learning for Automatic Sleep Staging
Chaoqi Yang, Danica Xiao, M. Brandon Westover +1
Background: Deep learning models have shown great success in automating tasks in sleep medicine by learning from carefully annotated Electroencephalogram (EEG) data. However, effec…
ATD: Augmenting CP Tensor Decomposition by Self Supervision
Chaoqi Yang, Cheng Qian, Navjot Singh +4
Tensor decompositions are powerful tools for dimensionality reduction and feature interpretation of multidimensional data such as signals. Existing tensor decomposition objectives…
SCRIB: Set-classifier with Class-specific Risk Bounds for Blackbox Models
Zhen Lin, Cao Xiao, Lucas Glass +2
Despite deep learning (DL) success in classification problems, DL classifiers do not provide a sound mechanism to decide when to refrain from predicting. Recent works tried to cont…
Natural Language Processing to Detect Cognitive Concerns in Electronic Health Records Using Deep Learning
Zhuoqiao Hong, Colin G. Magdamo, Yi-han Sheu +16
Dementia is under-recognized in the community, under-diagnosed by healthcare professionals, and under-coded in claims data. Information on cognitive dysfunction, however, is often…
Clinically Relevant Mediation Analysis using Controlled Indirect Effect
Haoqi Sun, Michael J. Leone, Lin Liu +3
Mediation analysis allows one to use observational data to estimate the importance of each potential mediating pathway involved in the causal effect of an exposure on an outcome. H…
CLARA: Clinical Report Auto-completion
Siddharth Biswal, Cao Xiao, Lucas M. Glass +2
Generating clinical reports from raw recordings such as X-rays and electroencephalogram (EEG) is an essential and routine task for doctors. However, it is often time-consuming to w…
Night-to-Night Variability of Sleep Electroencephalography-Based Brain Age Measurements
Jacob Hogan, Haoqi Sun, Luis Paixao +9
Objective Brain Age Index (BAI), calculated from sleep electroencephalography (EEG), has been proposed as a biomarker of brain health. This study quantifies night-to-night variabil…
SLEEPER: interpretable Sleep staging via Prototypes from Expert Rules
Irfan Al-Hussaini, Cao Xiao, M. Brandon Westover +1
Sleep staging is a crucial task for diagnosing sleep disorders. It is tedious and complex as it can take a trained expert several hours to annotate just one patient's polysomnogram…
Sleep Staging from Electrocardiography and Respiration with Deep Learning
Haoqi Sun, Wolfgang Ganglberger, Ezhil Panneerselvam +7
Study Objective: Sleep is reflected not only in the electroencephalogram but also in heart rhythms and breathing patterns. Therefore, we hypothesize that it is possible to accurate…
HAMLET: Interpretable Human And Machine co-LEarning Technique
Olivier Deiss, Siddharth Biswal, Jing Jin +3
Efficient label acquisition processes are key to obtaining robust classifiers. However, data labeling is often challenging and subject to high levels of label noise. This can arise…
SLEEPNET: Automated Sleep Staging System via Deep Learning
Siddharth Biswal, Joshua Kulas, Haoqi Sun +4
Sleep disorders, such as sleep apnea, parasomnias, and hypersomnia, affect 50-70 million adults in the United States (Hillman et al., 2006). Overnight polysomnography (PSG), includ…
The 2MASS Redshift Survey - Description and Data Release
John P. Huchra, Lucas M. Macri, Karen L. Masters +17
We present the results of the 2MASS Redshift Survey (2MRS), a ten-year project to map the full three-dimensional distribution of galaxies in the nearby Universe. The 2 Micron All-S…
High redshift galaxies and the Lyman-alpha forest in a CDM universe
Rupert A. C. Croft, Lars Hernquist, Volker Springel +2
We use a cosmological hydrodynamic simulation of a cold dark matter universe to investigate theoretically the relationship between high redshift galaxies and the Lyman=alpha forest…